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AI-supported Segmentation of the Whole Left Atrium in Cine MRI Identifies a New Geometrical Predictor of Outcome in Atrial Fibrillation

Author:Maurice Pradella  Sven Knecht  Manuela Moor  Shan Yang  Constantinos Anastasopoulos  Gian Voellmin  Philip Haaf  Stefan Osswald  Michael Kuehne  Christian Sticherling  Bram Stieltjes  Jens Bremerich  

Institution:University Hospital Basel  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0779  

Room Live Q&A Session:Wednesday Parallel 1  

Automatic quantification of ultra-high resolution quantitative first-pass perfusion imaging using deep-learning based segmentation and MOCO

Author:Matthew Van Houten  Xue Feng  Yang Yang  Austin Robinson  Craig Meyer  Michael Salerno  

Institution:Icahn School of Medicine at Mount Sinai  University of Virginia  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0777  

Room Live Q&A Session:Wednesday Parallel 1  

Fully Automated Multivendor and Multisite Artificial Intelligence-based 3D Segmentation of the Proximal Arteries from 4D flow MRI

Author:Haben Berhane  Michael Scott  Takashi Fujiwara  Lorna Browne  Joshua Robinson  Cynthia Rigsby  Michael Markl  Alex Barker  

Institution:Lurie Children's Hospital of Chicago  Northwestern University  University of Colorado, Anschutz Medical Campus  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0776  

Room Live Q&A Session:Wednesday Parallel 1  

Improved In Vivo Estimation of the Reynolds Stress Tensor from 4D und 5D Flow MRI Using Cholesky Decomposition-Based Neural Networks

Author:Valery Vishnevskiy  Hannes Dillinger  Jonas Walheim  Lin Zhang  Sebastian Kozerke  

Institution:ETH Zurich  University of Zurich  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0775  

Room Live Q&A Session:Wednesday Parallel 1  

Improved SMS Reconstruction using ReadOut-Concatenated K-space SPIRiT (ROCK-SPIRiT)

Author:Omer Demirel  Sebastian Weingärtner  Steen Moeller  Mehmet Akçakaya  

Institution:University of Minnesota  Delft University of Technology  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0783  

Room Live Q&A Session:Wednesday Parallel 1  

In-vivo application of a trained neural network using a fusion of computational fluid dynamic and 4D flow MRI data

Author:David Rutkowski  Alejandro Roldán-Alzate  Kevin Johnson  

Institution:University of Wisconsin  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0774  

Room Live Q&A Session:Wednesday Parallel 1  

A Joint Multi-Scale Variational Neural Network for Accelerating Free-breathing Whole-Heart qBOOST-T2 mapping

Author:Niccolo Fuin  Giorgia Milotta  Thomas Kuestner  Aurelien Bustin  Gastao Cruz  Rene Botnar  Claudia Prieto  

Institution:King's College London  Pontificia Universidad Católica de Chile  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0782  

Room Live Q&A Session:Wednesday Parallel 1  

A level-set reformulated as deep recurrent network for left/right ventricle segmentation on cardiac cine MRI

Author:Fan Huang  Vince Varut Vardhanabhuti  Pek-Lan Khong  Ming-Yen NG  Peng Cao  

Institution:The University of Hong Kong  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0780  

Room Live Q&A Session:Wednesday Parallel 1  

n-Standard deviations from remote is unreliable for scar quantification – evaluation using multicenter multivendor clinical trial data

Author:Einar Heiberg  Henrik Engblom  Marcus Carlsson  David Erlinge  Dan Atar  Anthony Aletras  Hakan Arheden  

Institution:Department of Cardiology, Oslo University Hospital Ullevål, and Instititute of Clinical Sciences, University of Oslo  Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University  Lund University, Department of Cli  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0778  

Room Live Q&A Session:Wednesday Parallel 1  

Stop copying contours from Cine to LGE: multimodal learning with disentangled representations needs zero annotations

Author:Agisilaos Chartsias  Haochuan Jiang  Giorgos Papanastasiou  Chengjia Wang  Colin Stirrat  Scott Semple  David Newby  Rohan Dharmakumar  Sotirios Tsaftaris  

Institution:Cedars Sinai Medical Center  Edinburgh Imaging Facility QMRI  Institute of Digital Communications  Centre for Cardiovascular Science  The Alan Turing Institute  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Cardiovascular Machine Learning: Image Processing & Beyond  

Program Number:0781  

Room Live Q&A Session:Wednesday Parallel 1